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AI for Renewable Energy Grid Management and Storage
Author(s): Pawan Pant (Chandigarh University, India)
Copyright: 2025
Pages: 36
EISBN13: 9798337325712
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Abstract
As global trends increasingly favour renewable energy sources, the challenges of stability, reliability, and efficiency in integrating intermittent sources like solar and wind into existing grids become more pronounced. However, AI is a promising solution, offering advanced predictive capabilities, optimisation algorithms, and real-time decision-making support. This chapter will revisit the case study of AI in renewable energy grid management and storage, presenting a structured framework of methodologies, case studies, and comparative analysis. The insights gained from this study will address current challenges and inspire optimism for the future of renewable energy.
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